Ph.D. in Mechanical Engineering at Stanford University. She also has a B.S. in Mechanical Engineering from Northeastern University. Dr. Brunhaver’s research examines the career decision-making and professional identity formation of engineering students, alumni, and practicing engineers. She also conducts studies of new engineering pedagogy that help to improve student engagement and understanding. c American Society for Engineering Education, 2020 Learner Analytics in Engineering Education: A Detailed Account of Practices Used in Cleaning and Manipulating Learning Management System Data from Online Undergraduate Engineering CoursesAbstractThis is a research paper that provides a
undergraduate engineering students ontheir embracing of a campus and disciplinary culture, that of a “geek.” In analysis of data fromthe students’ first and second years, researchers examine the development of pre-professionalengineering identity within the pseudonymous Mountain Technology Institute (MT or MountainTech). Authors speculate that despite widespread enjoyment in the first year of finding others—“geeks”—who share their interests, in the second year, some of MT’s undergraduates chafe atthe narrowness of their engineering and technology education. Further, the authors postulate thatthe students who become reluctant to remain geeks throughout their undergraduate careers maybe reluctant to remain in the engineering field.Background and
process,or it would quickly become nothing more than a nuisance to them. Effective “marketing” is thekey. While marketing may not be a term that we like to associate with educational methods, itdoes capture what is required. “Extensive research has shown that students learn best when theyperceive a clear need to know the material being taught.”[20] Being able to tie what is done in theclassroom to skills needed for future courses, or better yet their future careers after college is ahuge motivator for students.[21] If students believe that they really do need to know how to do Page 11.988.15something or learn a
2006-2205: WHAT’S SO IMPORTANT ABOUT PEER REVIEW OF TEACHINGPORTFOLIO COMPONENTS? AN EXPLORATORY ANALYSIS OFPEER-REVIEW EPISODES WITHIN ETPPJennifer Turns, University of Washington Jennifer Turns is an assistant professor in the Department of Technical Communication at the University of Washington. She holds a Ph.D. in Industrial Engineering from the Georgia Institute of Technology. Her interests include engineering education, learner-centered design, user-centered design, and audience analysis. Dr. Turns is currently working on multiple NSF grants dealing with engineering education including an NSF Career award exploring the impact of portfolio construction on engineering students
Paper ID #9597A Study of Feedback Provided to Student Teams Engaged in Open-EndedProjectsDr. Laura Hirshfield, Oregon State University Laura Hirshfield is a Post-Doctoral Scholar at Oregon State University. She received her B.S. from the University of Michigan and her Ph.D. from Purdue University, both in chemical engineering. She is cur- rently doing research in the engineering education field, investigating technology-mediated active learning in a chemical engineering curriculum. After her post-doc, she plans to pursue a career in academia.Ms. Jaynie L. Whinnery, Oregon State University Jaynie Whinnery is a graduate
of people with very strong physics backgrounds; and people in my discipline sort of have physics-envy, and they all ideally would like to be theoretical physicists. And so there’s a pecking order as there is in many disciplines with you know – people who are more physically based at the top and everybody else is down here. And so I’ve actually spent a lot of my career as somebody that’s not particularly good at the physics end of things either wishing I Page 23.89.13 was better or trying to justify my own existence to people who are better at that sort of thing. ((I: UM-HUM.)) And one of my mentors
perspective on classroom experiencesand being on campus for four years students have had more time to develop relationships withfaculty.DiscussionBy examining the student perspective, this research provides further insight into the role facultyplay in student engagement in learning during undergraduate careers. Framed in self-determination theory (SDT), results show students initially describe faculty behaviors aspositively contributing to student‟s autonomy, competence, and relatedness beliefs although theybecome neutral or negative at various points in time. A primary implication for practice is theneed for faculty, across all four years, to consider the potential impact of their behaviors asnegatively contributing to student motivation.The key
department toward anoutcomes-driven, student-centric, constituency-aware culture, while also growing thedepartment’s research portfolio. A lesson learned from this experience concerns the need forleadership to be willing to cross boundaries to get things moving beyond level 1. It wasserendipitous that this mathematics faculty member (who became chair), a former aerospaceengineering major who turned to mathematics in his undergraduate career, self-engaged himselfin the needs and issues being experienced by applications-oriented engineering majors andfaculty members. Page 24.328.8The first major STEM integration project that the mathematics department
knowledge or to practice transferring that knowledge to new situations, that knowledgeis useless. Thus, is it better to develop skills to become adaptive experts and hope students learnmore content knowledge later in their careers, or better to deliver the content and hope studentsbecome effective thinkers later?This question also presents another debate. If there are currently professional engineers who areadaptive experts and thinking critically and reflectively, without having an undergraduatecurriculum that emphasizes those concepts, do they even need to be emphasized? If theyabsolutely cannot be taught, as Edwards and Thomas suggest,135 then spending the time to do sowould certainly be wasteful. However, the heavy influence of disposition
discipline of engineering education research.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.#7164397 (NSF CAREER). Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation. Page 25.298.14Bibliography1. Sochacka, N., et al., Confronting the Methodological Challenges of Engineering Practice Research: A Three-Tiered Model of Reflexivity, in Research in Engineering Education Symposium2009: Palm Cove.2. Borrego, M. and L.K. Newswander, Definitions of
education research. He has been involved in faculty development activities since 1998, through the ExCEEd Teaching Workshops of the American Society of Civil Engineers, the Essential Teaching Seminars of the American Society of Mechanical Engineers, and the US National Science Foundation-sponsored SUCCEED Coalition. He has received several awards for his work, including the Presidential Early Career Award for Scientists and Engineers, the Ralph Teetor Education Award from the Society of Automotive Engineers, being named a University of Florida Distinguished Teaching Scholar, and being named the University of Florida Teacher of the Year for 2003-04. He is a member of the American Society for Engineering Education
student not only to develop an understanding ofspecific concepts, but also a way of thinking. In addition, in many learning environments,students are forced to learn a new tool, in the form of the programming environment being used,along with these concepts and patterns of thinking3. Because of this, many students will notdevelop a sufficient level of proficiency in programming, even after progressing through thetraditional two or three course introductory programming sequence4, 5. This is a significantproblem, especially in the engineering disciplines, where many students will be required to usesome form of programming during either their academic and/or professional career, but very fewreceive more than one or two semesters’ worth of
projects in their classes or extra-curriculars, previous experiences in their engineeringcoursework, and current desired career path.To construct a sample for the semi-structured interviews that was representative of eachcombination of gender and disciplinary affiliation examined in this study, students‟ disciplinaryaffiliation and gender were taken into consideration. In addition, all the students invited toparticipate in the final interviews needed to have participated in all of the previous phases of thestudy (including others not presented in this paper). This provided the researcher with theopportunity to explore each phase of the study with each participant. Since none of the studentswho participated in the focus group were classifed as male
AC 2011-1601: STUDENT LIFELONG LEARNING OUTCOMES FOR DIF-FERENT LEARNING ENVIRONMENTSSusan M. Lord, University of San Diego Susan M. Lord received a B.S. from Cornell University and the M.S. and Ph.D. from Stanford Univer- sity. She is currently Professor and Coordinator of Electrical Engineering at the University of San Diego. Her teaching and research interests include electronics, optoelectronics, materials science, first year engi- neering courses, feminist and liberative pedagogies, and student autonomy. Dr. Lord served as General Co-Chair of the 2006 Frontiers in Education Conference. She has been awarded NSF CAREER and ILI grants. She is currently working on a collaborative NSF-funded Gender in Science and
, entrepreneurship, and modeling. She has served as an associate editor for the JEE and is currently associate editor for the AEE Journal.Rosa Goldstein , University of Pittsburgh Rosa Goldstein is an Undergraduate Industrial Engineering student at the University of Pittsburgh. Ms. Goldstein has been an active member of the University of Pittsburgh’s SHPE (Society of Hispanic Pro- fessional Engineers) chapter and currently holds the position as President. She recently studied abroad for a semester in Spain at Saint Louis University in Madrid. She will be starting her career this summer at Accenture and is hoping that her research experience this past year will reinforce her plans to attend graduate school in a few years
understanding of subject matter. They found that service-learning is moreeffective over four years and that the messiness inherent in helping solve real community-basedproblems enhances the positive effects (Eyler & Giles, 1999). Astin et al. found with longitudinal data of 22,000 students that service-learning had significantpositive effects on 11 outcome measures: academic performance (GPA, writing skills, criticalthinking skills), values (commitment to activism and to promoting racial understanding), self-efficacy, leadership (leadership activities, self-rated leadership ability, interpersonal skills),choice of a service career, and plans to participate in service after college. In all measures exceptself-efficacy, leadership, and
, Cobblestone Applied Research & Evaluation, Inc. Dr. Eddy received her doctorate in Applied Cognitive Psychology and has spent her career focused on applying the principles of learning and cognition to evaluation of educational programs. Her work in- cludes published articles and client technical reports as President of Cobblestone Applied Research & Evaluation, Inc. and a faculty member at Claremont Graduate University (CGU). Work at Cobblestone focuses on advancing the numbers of underrepresented minority students in Science, Technology, Engi- neering and Mathematics (STEM) fields. Dr. Eddy has conducted evaluation or applied research studies on numerous university projects including clients programs funded by the
-frequency wireless systems. He has a great interest in engineering education and the use of technology to advance the student learning experience. He has been honoured with three departmental teaching awards and was selected as a New Faculty Fellow at the 2008 Frontiers in Education Conference. In 2012, he was awarded the Early Career Teaching Award by the Faculty of Applied Science & Engineering.Mr. Siddarth Hari, University of TorontoMs. Qin Liu, University of Toronto Ms. Qin Liu is currently a Ph.D. candidate in the program of Higher Education at the Ontario Institute for Studies in Education (OISE), University of Toronto. Her research interests are learning outcomes assessment and outcomes-based education
. citizen or eligible non-citizen to 127 credit * No minimum amount of reinstated Pupils 3) Georgia residency hours hours per term required before 90 Educationally 4) GPA 3.0 (or an 80 average in * Grade of summer school hours (HOPE) college prep courses for students who may be used to meet began college career before 2007) renewal requirementsFlorida Bright Futures 1997 1) First-time bachelor’s degree 1) FAS: 110% 1) Enroll in at least 12 For Scholarships 2) U.S. citizen or eligible non-citizen tuition up to
Department Head of Graduate Education and co-Director of the VT Engineering Communication Center (VTECC). She received her PhD in Linguistics from the University of Chicago and an M.A. and B.A. in English from the University of Georgia. Her research interests include interdis- ciplinary collaboration, design education, communication studies, identity theory and reflective practice. Projects supported by the National Science Foundation include interdisciplinary pedagogy for pervasive computing design; writing across the curriculum in Statics courses; as well as a National Science Foun- dation CAREER award to explore the use of e-portfolios for graduate students to promote professional identity and reflective practice. Her
to exercise considerable restraint in order to secure measures that actually represent the criterion – often very difficult to collect – instead of more easily accessed but potentially invalid proxy measures. For Page 15.1008.5 example, salary data of alumni would be a more easily secured proxy measure for alumni success than more direct measures of the latter. Clearly salary data, unless carefully conditioned, would reflect the large inequities and differential pay scales of varying careers. Data collection refers to the process and source of the actual numbers and descriptors being used in any assessment. Here it is
Page 26.1323.11 potential to both create and make visible a wide range of connections—what I might call integration in time and integration in the person (phrases I arrived at after talking with Lauren). Regarding the former, I described to Lauren my hope that the reflection activity we discussed helped the learners inquestion—graduate students interested in engineering education—relate their experiences in an onlineworkshop to prior experiences and knowledge about engineering education, as well as to anticipatedexperiences in their academic careers. Ideally, learners would gain more from the online workshopexperiences by understanding them in this larger temporal context. What I am calling integration in the person is another
diverse population offaculty to obtain material from the library and found that women, early career faculty, andfaculty from non-research universities are more likely to buy material from the library. Thestudy indicates that the launch of a digital library did not make a significant change on networkbehavior. In their study, they identified a core of 5 to 6% faculty members out of the wholenetwork who were not only active participants in the activities of the network but also adoptedleadership roles. Opinion leaders are considered important in the theory as they influence othersin the social system in their attitude towards adopting an innovation.The theory of diffusion uses social learning theory of Bandura as a way to describe how peoplelearn